AICpls                  AIC function for plsR models
CorMat                  Correlation matrix for simulating plsR datasets
Cornell                 Cornell dataset
PLS_glm_wvc             Light version of PLS_glm for cross validation
                        purposes
PLS_lm_wvc              Light version of PLS_lm for cross validation
                        purposes
XbordeauxNA             Incomplete dataset for the quality of wine
                        dataset
XpineNAX21              Incomplete dataset from the pine caterpillars
                        example
aic.dof                 Akaike and Bayesian Information Criteria and
                        Generalized minimum description length
aze                     Microsatellites Dataset
aze_compl               As aze without missing values
bootpls                 Non-parametric Bootstrap for PLS models
bootplsglm              Non-parametric Bootstrap for PLS generalized
                        linear models
bordeaux                Quality of wine dataset
bordeauxNA              Quality of wine dataset
boxplots.bootpls        Boxplot bootstrap distributions
classbiplot             Grouped biplot for PLS scores and loadings
coef.plsRglmmodel       coef method for plsR models
coef.plsRmodel          coef method for plsR models
coefs.plsR              Coefficients for bootstrap computations of PLSR
                        models
coefs.plsR.raw          Raw coefficients for bootstrap computations of
                        PLSR models
coefs.plsRglm           Coefficients for bootstrap computations of
                        PLSGLR models
coefs.plsRglm.raw       Raw coefficients for bootstrap computations of
                        PLSGLR models
coefs.plsRglmnp         Coefficients for bootstrap computations of
                        PLSGLR models
coefs.plsRnp            Coefficients for bootstrap computations of PLSR
                        models
confints.bootpls        Bootstrap confidence intervals
confints2signifind      Detect significant predictors from bootstrap
                        confidence intervals
cv.plsR                 Partial least squares regression models with
                        k-fold cross-validation
cv.plsRglm              Partial least squares regression glm models
                        with k-fold cross validation
cv.plsRmulti            Experimental k-fold cross-validation for
                        multivariate-response PLS2
cvtable                 Table method for summary of cross validated
                        PLSR and PLSGLR models
dicho                   Dichotomization
fowlkes                 Fowlkes dataset
infcrit.dof             Information criteria
kfolds2CVinfos_glm      Extracts and computes information criteria and
                        fits statistics for k-fold cross validated
                        partial least squares glm models
kfolds2CVinfos_lm       Extracts and computes information criteria and
                        fits statistics for k-fold cross validated
                        partial least squares models
kfolds2Chisq            Computes Predicted Chisquare for k-fold
                        cross-validated partial least squares
                        regression models.
kfolds2Chisqind         Computes individual Predicted Chisquare for
                        k-fold cross validated partial least squares
                        regression models.
kfolds2Mclassed         Number of missclassified individuals for k-fold
                        cross validated partial least squares
                        regression models.
kfolds2Mclassedind      Number of missclassified individuals per group
                        for k-fold cross validated partial least
                        squares regression models.
kfolds2Press            Computes PRESS for k-fold cross validated
                        partial least squares regression models.
kfolds2Pressind         Computes individual PRESS for k-fold cross
                        validated partial least squares regression
                        models.
kfolds2coeff            Extracts coefficients from k-fold cross
                        validated partial least squares regression
                        models
loglikpls               loglikelihood function for plsR models
permcoefs.plsR          Coefficients for permutation bootstrap
                        computations of PLSR models
permcoefs.plsR.raw      Raw coefficients for permutation bootstrap
                        computations of PLSR models
permcoefs.plsRglm       Coefficients for permutation bootstrap
                        computations of PLSGLR models
permcoefs.plsRglm.raw   Raw coefficients for permutation bootstrap
                        computations of PLSGLR models
permcoefs.plsRglmnp     Coefficients for permutation bootstrap
                        computations of PLSGLR models
permcoefs.plsRnp        Coefficients computation for permutation
                        bootstrap
pine                    Pine dataset
pineNAX21               Incomplete dataset from the pine caterpillars
                        example
pine_full               Complete Pine dataset
pine_sup                Complete Pine dataset
plot.table.summary.cv.plsRglmmodel
                        Plot method for table of summary of cross
                        validated plsRglm models
plot.table.summary.cv.plsRmodel
                        Plot method for table of summary of cross
                        validated plsR models
plots.confints.bootpls
                        Plot bootstrap confidence intervals
plsR                    Partial least squares Regression models with
                        leave one out cross validation
plsR.dof                Computation of the Degrees of Freedom
plsRglm                 Partial least squares Regression generalized
                        linear models
plsRmulti               Experimental multivariate-response PLS2 models
predict.plsRglmmodel    Print method for plsRglm models
predict.plsRmodel       Print method for plsR models
predict.plsRmultiModel
                        Predict method for experimental plsRmulti
                        models
print.coef.plsRglmmodel
                        Print method for plsRglm models
print.coef.plsRmodel    Print method for plsR models
print.cv.plsRglmmodel   Print method for plsRglm models
print.cv.plsRmodel      Print method for plsR models
print.plsRglmmodel      Print method for plsRglm models
print.plsRmodel         Print method for plsR models
print.summary.plsRglmmodel
                        Print method for summaries of plsRglm models
print.summary.plsRmodel
                        Print method for summaries of plsR models
signpred                Graphical assessment of the stability of
                        selected variables
simul_data_UniYX        Data generating function for univariate plsR
                        models
simul_data_UniYX_binom
                        Data generating function for univariate
                        binomial plsR models
simul_data_YX           Data generating function for multivariate plsR
                        models
simul_data_complete     Data generating detailed process for
                        multivariate plsR models
summary.cv.plsRglmmodel
                        Summary method for plsRglm models
summary.cv.plsRmodel    Summary method for plsR models
summary.cv.plsRmultiModel
                        Summary method for experimental multivariate
                        PLS2 CV models
summary.plsRglmmodel    Summary method for plsRglm models
summary.plsRmodel       Summary method for plsR models
tilt.bootpls            Non-parametric tilted bootstrap for PLS
                        regression models
tilt.bootplsglm         Non-parametric tilted bootstrap for PLS
                        generalized linear regression models
weighted_significance   Compute cross-validation weighted significance
                        scores
